Computer Science ›› 2013, Vol. 40 ›› Issue (5): 242-246.
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JIANG Yun,CHEN Na,MING Li-te,ZHOU Ze-xun,XIE Guo-cheng and CHEN Shan
[1] Phyu T N.Survey of Classification Techniques in Data Mining[C]∥Proceedings of the International MultiConference of Engineers and Computer Scientists.Hong Kong,2009(1) [2] 罗可,林睦纲,郗东妹.数据挖掘中分类算法综述[J].计算机工程,2009,1(5):3-5 [3] Han Jia-wei,Micheline K.数据挖掘概念与技术(第2版)[M].范明,孟小峰,译.北京:机械工业出版社,2007 [4] El-shafie A,Muklisin M,Najah Ali A,et al.Performance of artificial neural network and regression techniques for rainfall-runoff prediction[J].International Journal of the Physical Sciences,2011,6(8):1997-2003 [5] Selles M A,Schmid S R,Sánchez-Caballero S,et al.Theoretical Model of a Multi-Layered Polymer Coated Steel-Strip Ironing Process Using a Neural Network[C]∥Materials Science Forum.Switzerland,2012:139-144 [6] Jiten P,Choi S-K.Classification approach for reliability-basedtopology optimization using probabilistic neural networks[J].Structural and Multidisciplinary Optimization,2012,5(4):529-543 [7] El-Emary I M,Ramakrishnan S.On the Application of Various Probabilistic Neural Networks in Solving Different Pattern Classification Problems[J].World Applied Sciences Journal,2008,4(6):772-780 [8] Al-Timemy A H,Al-Naima F M,Qaeeb N H.Probabilistic Neural Network for Breast Biopsy Classification[C]∥International Conference on Developments in eSystems Engineering.2009:101-106 [9] Brian P,Stephen M S,Kennedy David N,et al.A Bayesian model of shape and appearance for subcortical brain segmentation[J].NeuroImage,2011,6(3):907-922 [10] Etherm A.机器学习导论[M].范明,昝红英,牛常勇,译.北京:机械工业出版社,2009 [11] Valiant L G.A theory of the learnable[J].Communications of the ACM,1984,7(11):1134-1142 [12] 毕华,梁洪力,王珏.重采样方法与机器学习[J].计算机学报,2009,2(5):862-877 [13] Schapire R E.The strength of weak learnability[J].Machine Learning,1990,5(2):197-227 [14] Robi P.Ensemble learning[EB/OL].http://www.scholarpe-dia.org/article/Ensemble_learning,2012-12-11 [15] Buhlmann P.Bagging, Boosting and Ensemble Methods[M].Berlin:Springer Berlin Heidelberg,2012 [16] Hamid P,Sajad P,Zahra R,et al.CDEBMTE:Creation of Diverse Ensemble Based on Manipulation of Training Example [J].Pattern Recognition,2012,9:197-206 [17] 周志华,陈世福.神经网络集成[J].计算机学报,2002,5(1):1-8 [18] Frank A,Asuncion A.UCI Machine Learning Repository [DB/OL] .http://archive.ics.uci.edu/ml.Irvine,CA:University of California,School of Information and Computer Science,2010 [19] Martis R J,Acharya U R,Tan J H,et al.Application of empirical mode decomposition for automated detection of epilepsy using EEG signals[J].Int J Neural Syst,2012,2(6):1250027 [20] Jayakishan M,Ram B C,Madhab P R,et al.Cascaded Factor Analysis and Wavelet Transform Method for Tumor Classification Using Gene Expression Data[J].International Journal of Information Technology and Computer Science,2012,4:73-79 [21] Adhvaryu P S,Panchal Mahesh P.A Review on Diverse Ensemble Methods for Classification[J].IOSR Journal of Computer Engineering,2012,1(4):27-32 [22] Ye Ren,Suganthan P N.Empirical comparison of bagging-based ensemble classifiers [C]∥Information Fusion,201215th International Conference.2012:917-924 [23] Tian Jin,Li Ming-qiang,Chen Fu-zan,et al.Coevolutionarylearning of neural network ensemble for complex classification tasks[J].Pattern Recognition,2012,5(4):1373-1385 |
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